Testing Mwaa Workflow
aws/agent-toolkit-for-aws
Tests Amazon MWAA workflow execution end-to-end: trigger a run and monitor it to completion for Provisioned (Python DAG, via Airflow REST API) and Serverless (YAML workflow, via StartWorkflowRun).
How to start/smoke-test the supervisor process itself, and start, check, and kill fleet-sprints via its HTTP API only (POST /api/sprints on localhost:8787).
$ npx skills add Apra-Labs/apra-fleet --skill fleet-supervisor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Apra-Labs/apra-fleet fleet-supervisor --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Apra-Labs/apra-fleet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/apra-fleet-se/fleet-sprint/skills/fleet-supervisor .claude/skills/fleet-supervisor && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "fleet-supervisor" agent skill from https://github.com/Apra-Labs/apra-fleet/tree/main/packages/apra-fleet-se/fleet-sprint/skills/fleet-supervisor into .claude/skills/fleet-supervisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fleet-supervisor", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Apra-Labs/apra-fleet/tree/main/packages/apra-fleet-se/fleet-sprint/skills/fleet-supervisorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Apra-Labs/apra-fleet --skill fleet-supervisor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Apra-Labs/apra-fleet fleet-supervisor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Apra-Labs/apra-fleet.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/apra-fleet-se/fleet-sprint/skills/fleet-supervisor .agents/skills/fleet-supervisor && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fleet-supervisor" agent skill from https://github.com/Apra-Labs/apra-fleet/tree/main/packages/apra-fleet-se/fleet-sprint/skills/fleet-supervisor into .agents/skills/fleet-supervisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fleet-supervisor", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Apra-Labs/apra-fleet --skill fleet-supervisor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Apra-Labs/apra-fleet fleet-supervisor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Apra-Labs/apra-fleet.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/apra-fleet-se/fleet-sprint/skills/fleet-supervisor .cursor/skills/fleet-supervisor && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "fleet-supervisor" agent skill from https://github.com/Apra-Labs/apra-fleet/tree/main/packages/apra-fleet-se/fleet-sprint/skills/fleet-supervisor into .cursor/skills/fleet-supervisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fleet-supervisor", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Apra-Labs/apra-fleet.git --path packages/apra-fleet-se/fleet-sprint/skills/fleet-supervisor--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Apra-Labs/apra-fleet --skill fleet-supervisor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Apra-Labs/apra-fleet fleet-supervisor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Apra-Labs/apra-fleet.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/apra-fleet-se/fleet-sprint/skills/fleet-supervisor .gemini/skills/fleet-supervisor && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "fleet-supervisor" agent skill from https://github.com/Apra-Labs/apra-fleet/tree/main/packages/apra-fleet-se/fleet-sprint/skills/fleet-supervisor into .gemini/skills/fleet-supervisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fleet-supervisor", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Apra-Labs/apra-fleet fleet-supervisorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Apra-Labs/apra-fleet --skill fleet-supervisor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Apra-Labs/apra-fleet.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/apra-fleet-se/fleet-sprint/skills/fleet-supervisor .github/skills/fleet-supervisor && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "fleet-supervisor" agent skill from https://github.com/Apra-Labs/apra-fleet/tree/main/packages/apra-fleet-se/fleet-sprint/skills/fleet-supervisor into .github/skills/fleet-supervisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fleet-supervisor", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Apra-Labs/apra-fleet --skill fleet-supervisor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Apra-Labs/apra-fleet fleet-supervisor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Apra-Labs/apra-fleet.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/apra-fleet-se/fleet-sprint/skills/fleet-supervisor .opencode/skills/fleet-supervisor && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "fleet-supervisor" agent skill from https://github.com/Apra-Labs/apra-fleet/tree/main/packages/apra-fleet-se/fleet-sprint/skills/fleet-supervisor into .opencode/skills/fleet-supervisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fleet-supervisor", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
fleet-supervisorHow to start/smoke-test the supervisor process itself, and start, check, and kill fleet-sprints via its HTTP API only (POST /api/sprints on localhost:8787).
Fleet Supervisor is an agent skill from Apra-Labs/apra-fleet. How to start/smoke-test the supervisor process itself, and start, check, and kill fleet-sprints via its HTTP API only (POST /api/sprints on localhost:8787). Never call the fleet-sprint CLI directly. Trigger whenever asked to start/launch/check/stop/kill the supervisor or a sprint.
Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Testing & QA, covering REST APIs and QA and bug reports. It works with Model Context Protocol. The repository describes itself as: AI agents that write code, review each other's work, and coordinate across your machines.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 0da994b. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
curlnodegitFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
apple.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Fleet Supervisor loads about 3.6k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 1,435 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,435 words (~3,631 tokens).
“Sprints are started, checked, and killed through the supervisor's HTTP API. Default port: 8787. Never invoke apra-fleet workflow fleet-sprint or bin/cli.mjs directly -- always go through this API.”
Just SKILL.md in packages/apra-fleet-se/fleet-sprint/skills/fleet-supervisor of Apra-Labs/apra-fleet.
Open the folder on GitHubat commit 0da994b
Fleet Supervisor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Fleet Supervisor this skillApra-Labs/apra-fleet | 101 | — | ~3.6k | Automated safety check: Pass | Custom licence | |
| Testing Mwaa Workflowaws/agent-toolkit-for-aws | 2.8k | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Agentacct Workflowmikehasa/agentacct | 766 | — | ~1.6k | Automated safety check: Pass | MIT | |
| ROSClaw SimForge Validatorros-claw/rosclaw | 218 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Hands On Testktnyt/cclsp | 675 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Diff-Driven Smoke TestsSkyvern-AI/skyvern | 23k | — | ~5.2k | Automated safety check: Pass | AGPL-3.0 |
aws/agent-toolkit-for-aws
Tests Amazon MWAA workflow execution end-to-end: trigger a run and monitor it to completion for Provisioned (Python DAG, via Airflow REST API) and Serverless (YAML workflow, via StartWorkflowRun).
mikehasa/agentacct
A skill your agent uses when working in a repo with agentacct MCP configured, or when asked to track coding-agent work, smoke-test agentacct integrations, or report objective AI-agent task evidence.
ros-claw/rosclaw
Validates ROSClaw simulation workflows across MuJoCo, ROS 2, Gazebo and Isaac Sim with evidence-backed smoke tests, never touching a real robot.
ktnyt/cclsp
Performs manual hands-on testing of a web application using playwright-cli.
Skyvern-AI/skyvern
Reads your git diff, writes a handful of happy-path browser smoke tests, runs them with Skyvern or Chrome DevTools MCP and posts screenshot evidence to the PR.
DebugBase/glance
Run E2E browser tests on any web application using Glance MCP.
Apra-Labs/apra-fleet
How to construct and pass correct arguments to the auto-sprint workflow -- the required issues+branch fields, optional goal/maxcycles/basebranch/requirementsFile, JSON-object (not string) shape, and…
Apra-Labs/apra-fleet
How to launch and supervise apra-fleet's autonomous sprint workflow from the CLI (apra-fleet workflow fleet-sprint) -- the --issue/--members/--branch/--base flag contract, the preconditions to check…
Apra-Labs/apra-fleet
Project Manager skill. An agent skill from Apra-Labs/apra-fleet.
Apra-Labs/apra-fleet
Fleet infrastructure mechanics - member management, permissions, onboarding, provider awareness, and tool usage patterns
Works with
Categories
How to start/smoke-test the supervisor process itself, and start, check, and kill fleet-sprints via its HTTP API only (POST /api/sprints on localhost:8787). Fleet Supervisor is an agent skill from Apra-Labs/apra-fleet. How to start/smoke-test the supervisor process itself, and start, check, and kill fleet-sprints via its HTTP API only (POST /api/sprints on localhost:8787).
Fleet Supervisor fits situations like: ever asked to start/launch/check/stop/kill the supervisor; tasks that involve REST APIs; tasks that involve QA and bug reports.
Run `npx skills add Apra-Labs/apra-fleet --skill fleet-supervisor -a claude-code`. Or copy the skill folder (packages/apra-fleet-se/fleet-sprint/skills/fleet-supervisor in Apra-Labs/apra-fleet) into .claude/skills/fleet-supervisor in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Apra-Labs/apra-fleet --skill fleet-supervisor -a codex`. Or copy the skill folder (packages/apra-fleet-se/fleet-sprint/skills/fleet-supervisor in Apra-Labs/apra-fleet) into .agents/skills/fleet-supervisor in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Apra-Labs/apra-fleet --skill fleet-supervisor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fleet-supervisor, .gemini/skills/fleet-supervisor, .github/skills/fleet-supervisor and .opencode/skills/fleet-supervisor in your project.
Going by SKILL.md and its folder, Fleet Supervisor needs the command-line tools its instructions call (curl, node and git).
SKILL.md names 1 domain. In commands or code: apple.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Fleet Supervisor has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 3.6k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Fleet Supervisor: Testing Mwaa Workflow (aws/agent-toolkit-for-aws, 2.8k stars), Agentacct Workflow (mikehasa/agentacct, 766 stars), ROSClaw SimForge Validator (ros-claw/rosclaw, 218 stars) and Hands On Test (ktnyt/cclsp, 675 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Apra-Labs (a GitHub organization) maintains it in Apra-Labs/apra-fleet, which has 101 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 8, 2026.
Source: Apra-Labs/apra-fleet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.